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Splunk SPLK-4001 Exam - Topic 3 Question 13 Discussion

Actual exam question for Splunk's SPLK-4001 exam
Question #: 13
Topic #: 3
[All SPLK-4001 Questions]

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Barney
3 months ago
I’m surprised D is even listed here.
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Omega
3 months ago
A is the best for peak visits, no doubt!
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Lisha
3 months ago
Wait, is C really an option? Seems off.
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Britt
4 months ago
I think B could work too, but not as well.
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Chu
4 months ago
Definitely A, that's the right choice!
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Scarlet
4 months ago
D seems like a possibility since counting visits makes sense, but I wonder if it's enough to find the peak specifically.
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Lorriane
4 months ago
I'm leaning towards C, but I can't recall if "Lag" is typically used for peak visits. It feels a bit off.
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Salome
4 months ago
I remember practicing with similar questions, and I feel like "Aggregation" could be the key here, maybe B?
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Dante
5 months ago
I think the answer might be A, but I'm not completely sure if "Transformation" is the right term for peak visits.
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Chi
5 months ago
I'm leaning towards C, "Lag: (24h)". I think that function might be able to identify the peak by looking at the difference in page visits over a 24-hour period.
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Bobbye
5 months ago
I'm pretty confident that the answer is B. The "Maximum: Aggregation (Id)" function sounds like it would be able to find the peak page visits by aggregating the data and returning the maximum value.
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Abel
5 months ago
Hmm, I'm not sure about this one. The options are a bit confusing, and I'm not familiar with all of these analytic functions. I'll need to think it through carefully before answering.
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Jacklyn
5 months ago
I think the answer is A. The question is asking for an analytic function to discover peak page visits, and the "Maximum: Transformation (24h)" option seems like it would do that by finding the maximum value over a 24-hour period.
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Cherri
5 months ago
I'm not sure about this one. I'd need to review the definitions of these analytic functions to make sure I understand them properly before selecting an answer.
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Patrick
5 months ago
Okay, let's break this down step-by-step. First, I need to identify all the key steps in the assessment process. Then I can evaluate if it's realistically possible to complete them all within 2 weeks.
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Abel
5 months ago
I'm a little confused by the wording of this question. What exactly does it mean for a schedule to "utilize" employee rate schedules? I want to make sure I understand the concept before answering.
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Bronwyn
5 months ago
I'm not entirely sure, but I think this situation calls for 'Revolution' since the changes are described as significant and quick.
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Leslie
9 months ago
I bet the maximum function is the way to go. That's the only way I can explain my peak chocolate consumption last night.
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Domonique
9 months ago
Wait, are we measuring peak visits or peak memes posted? Asking for a friend.
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Cristina
9 months ago
Maximum transformation, huh? Sounds like the right tool for the job. Let's see what the documentation says about that one.
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Rene
8 months ago
Agreed, let's dive into the details before running the analysis.
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Lorrine
8 months ago
Let's check the documentation to make sure we're using it correctly.
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Larae
8 months ago
Yeah, that function should help us find the peak page visits.
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Roosevelt
9 months ago
I think Maximum: Transformation (24h) is the way to go.
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Cassandra
10 months ago
Count? Really? That's not going to give me the peak visits, just the total number of visits. Not what I need for this question.
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Tequila
8 months ago
A) Maximum: Transformation (24h)
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Alishia
9 months ago
C) Lag: (24h)
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Dulce
9 months ago
A) Maximum: Transformation (24h)
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Sylvie
10 months ago
Hmm, the lag function could work too, but I'm not sure if that's the best approach for this use case. Gotta think this through.
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Portia
9 months ago
Maybe we should consider both Maximum: Transformation (24h) and Maximum: Aggregation (Id) to get a comprehensive analysis.
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Trinidad
9 months ago
Maybe we should consider using both Maximum: Transformation (24h) and Maximum: Aggregation (Id) to get a comprehensive analysis.
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Ben
9 months ago
I agree, Maximum: Aggregation (Id) would give us a clearer picture of peak page visits.
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Arlette
9 months ago
I think Maximum: Transformation (24h) would be the best option for this.
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Brinda
9 months ago
I agree, Maximum: Aggregation (Id) would give us a clear picture of peak page visits.
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Eun
10 months ago
I think Maximum: Transformation (24h) would be the best option for this.
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Tamar
10 months ago
I'm pretty sure the maximum aggregation function is the way to go here. It should give me the peak page visits over the last day.
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Serina
8 months ago
Let's go ahead and use the Maximum: Aggregation (Id) function to discover the peak page visits over the last day.
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Myra
8 months ago
I've used Maximum aggregation before for similar analysis, it's definitely the way to go.
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Dominga
9 months ago
Yeah, I agree. It makes sense to use the Maximum function for this kind of analysis.
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Justa
10 months ago
I think you're right, the Maximum: Aggregation (Id) function should give us the peak page visits over the last day.
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Rosenda
11 months ago
Hmm, that's a good point. But I still think A) Maximum: Transformation (24h) would give a more accurate peak page visits analysis.
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Eun
11 months ago
I disagree, I believe the answer is B) Maximum: Aggregation (Id). It would aggregate the data based on the page visits.
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Rosenda
11 months ago
I think the answer is A) Maximum: Transformation (24h). It makes sense to find the peak page visits over the last day.
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